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Learning to Generate Image Embeddings with User-level Differential Privacy


Nov 20, 2022
Zheng Xu, Maxwell Collins, Yuxiao Wang, Liviu Panait, Sewoong Oh, Sean Augenstein, Ting Liu, Florian Schroff, H. Brendan McMahan


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Multimodal Open-Vocabulary Video Classification via Pre-Trained Vision and Language Models


Jul 15, 2022
Rui Qian, Yeqing Li, Zheng Xu, Ming-Hsuan Yang, Serge Belongie, Yin Cui


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Beyond Uniform Lipschitz Condition in Differentially Private Optimization


Jun 21, 2022
Rudrajit Das, Satyen Kale, Zheng Xu, Tong Zhang, Sujay Sanghavi


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Motley: Benchmarking Heterogeneity and Personalization in Federated Learning


Jun 18, 2022
Shanshan Wu, Tian Li, Zachary Charles, Yu Xiao, Ziyu Liu, Zheng Xu, Virginia Smith

* 35 pages, 9 figures, 5 tables. Code: https://github.com/google-research/federated/tree/master/personalization_benchmark 

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On the Unreasonable Effectiveness of Federated Averaging with Heterogeneous Data


Jun 09, 2022
Jianyu Wang, Rudrajit Das, Gauri Joshi, Satyen Kale, Zheng Xu, Tong Zhang


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Efficient and Private Federated Learning with Partially Trainable Networks


Oct 06, 2021
Hakim Sidahmed, Zheng Xu, Ankush Garg, Yuan Cao, Mingqing Chen


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A Field Guide to Federated Optimization


Jul 14, 2021
Jianyu Wang, Zachary Charles, Zheng Xu, Gauri Joshi, H. Brendan McMahan, Blaise Aguera y Arcas, Maruan Al-Shedivat, Galen Andrew, Salman Avestimehr, Katharine Daly, Deepesh Data, Suhas Diggavi, Hubert Eichner, Advait Gadhikar, Zachary Garrett, Antonious M. Girgis, Filip Hanzely, Andrew Hard, Chaoyang He, Samuel Horvath, Zhouyuan Huo, Alex Ingerman, Martin Jaggi, Tara Javidi, Peter Kairouz, Satyen Kale, Sai Praneeth Karimireddy, Jakub Konecny, Sanmi Koyejo, Tian Li, Luyang Liu, Mehryar Mohri, Hang Qi, Sashank J. Reddi, Peter Richtarik, Karan Singhal, Virginia Smith, Mahdi Soltanolkotabi, Weikang Song, Ananda Theertha Suresh, Sebastian U. Stich, Ameet Talwalkar, Hongyi Wang, Blake Woodworth, Shanshan Wu, Felix X. Yu, Honglin Yuan, Manzil Zaheer, Mi Zhang, Tong Zhang, Chunxiang Zheng, Chen Zhu, Wennan Zhu


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Local Adaptivity in Federated Learning: Convergence and Consistency


Jun 04, 2021
Jianyu Wang, Zheng Xu, Zachary Garrett, Zachary Charles, Luyang Liu, Gauri Joshi


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Practical and Private (Deep) Learning without Sampling or Shuffling


Feb 26, 2021
Peter Kairouz, Brendan McMahan, Shuang Song, Om Thakkar, Abhradeep Thakurta, Zheng Xu


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GradInit: Learning to Initialize Neural Networks for Stable and Efficient Training


Feb 16, 2021
Chen Zhu, Renkun Ni, Zheng Xu, Kezhi Kong, W. Ronny Huang, Tom Goldstein


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